Francis U.

Key Skills

Software

Other

Top Subject Matter

AI model evaluation for multi-modal datasets

Mathematical reasoning QA and AI response validation

Audio pattern analysis and annotation evaluation

Top Data Types

Text

Audio

Video

Top Task Types

Question Answering

Freelancer Overview

AI Data Annotation & Labeling, Atlas Capture (Remote). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, N/A (2025) and Certificate, Aptech Computer Education. AI-training focus includes data types such as Text, Audio, and Video and labeling workflows including Evaluation, Rating, and Question Answering.

Labeling Experience

AI Maths Specialist, Telus Digital AI (Remote)

OtherTextQuestion Answering

Developed complex, multi-step mathematical problems and solutions to evaluate and improve AI reasoning capabilities. Reviewed and validated AI-generated responses for accuracy, logical consistency, and step-by-step correctness. Performed structured evaluation of outputs to identify gaps in reasoning and correctness.• Created and assessed multi-step math solution content.• Evaluated AI responses for correctness and logical flow.• Checked step-by-step reasoning consistency with expected methods.• Iteratively refined problems/validation criteria to improve reasoning performance.

2025 - Present

AI Data Annotation & Labeling, Atlas Capture (Remote)

OtherText

Evaluated multi-modal datasets (text, audio, video) to improve AI model accuracy and performance. Identified classification errors, inconsistencies, and edge cases to enhance dataset quality and model reliability. Conducted quality assessment of model outputs against labeling guidelines and expected behavior.• Reviewed and validated classification outputs across modalities.• Flagged errors and anomalous examples for downstream improvements.• Supported iterative data quality enhancement for reliability.• Ensured labeled data consistency with structural integrity requirements.

2025 - Present

AI Audio Data Trainer, Alignerr (Remote)

OtherAudio

Analyzed audio data including speech and musical elements to improve AI understanding of sound patterns and structure. Performed quality evaluation of AI-generated audio outputs to ensure accuracy in transcription, labeling, and acoustic interpretation. Assessed labeled outputs against expected audio characteristics for reliability.• Evaluated transcription quality and labeled outputs for speech/music.• Checked acoustic interpretation consistency with sound patterns.• Identified mislabeling and quality issues in AI-generated audio results.• Supported improved model performance through targeted feedback.

2024 - Present

Education

Work History